Provider comparison

OpenAI vs Google AI models

This decision page compares live OpenAI and Google catalog coverage for teams weighing provider ecosystem fit, multimodal workflows, context size, and current route cost.

132Listed models compared
LivePricing and coverage data
2 providersRoute strategy decision
Fast answer

Choose the provider route that fits the workload, not a generic brand ranking

Use ecosystem fit as the first filter when your stack already depends heavily on one provider

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 480 public model records and was synchronized Jul 31, 2026, 8:42 AM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Live coverage

Current provider inventory at a glance

Provider route

OpenAI

85 live models, 85 with listed paid input pricing.

85Models
1,050,000Max context
$0.01Lowest listed input
  • audio
  • embeddings
  • file
  • image
  • structured
  • text
  • tools
  • transcription
Provider route

Google

47 live models, 47 with listed paid input pricing.

47Models
1,048,576Max context
$0.05Lowest listed input
  • audio
  • embeddings
  • file
  • image
  • speech
  • structured
  • text
  • tools
Start testing

High-context listed models to evaluate next

OpenAI

Model shortlist

  • OpenAI: GPT-5.6 Luna ProGPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
  • OpenAI: GPT-5.6 LunaGPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
  • OpenAI: GPT-5.6 Terra ProGPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
  • OpenAI: GPT-5.6 TerraGPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
Google

Model shortlist

  • Google: Gemini 3.6 FlashGemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
  • Google: Gemini 3.6 Flash (batch)Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
  • Google: Gemini 3.5 Flash LiteGemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
  • Google: Gemini 3.5 Flash Lite (batch)Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
Provider FAQ

How to make the provider decision

Should I choose OpenAI or Google for multimodal work?

Compare the currently listed image-capable models, context windows, and pricing on the live provider cards. The strongest choice depends on the inputs and throughput your route handles.

Do provider model counts decide this comparison?

No. More listed models create more options, but the best production decision comes from a shortlist of models that meet the workload requirements.